Learn practical statistics for data analysis. Master hypothesis testing, regression, A/B testing, and forecasting with real-world applications.
Measures of center, spread, percentiles
Core concepts and distributions
CLT and confidence intervals
T-tests, chi-square, Type I/II errors
Linear and multiple regression
Experimentation and metric selection
Forecasting and trend analysis
Excel and Python implementations
Build the statistical foundation every data analyst needs
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